Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 469, Issue -, Pages 256-264Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2016.11.090
Keywords
Complex network; Traffic engineering; Road traffic network; Topology structure; Degree
Categories
Funding
- National Natural Science Foundation of China [51308249, 51308248]
- National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2014BAG03B03]
Ask authors/readers for more resources
The complex network theory is applied to the study of urban road traffic network topology, and we constructed a new measure to characterize an urban road network. It is inspiring to quantify the interaction more appropriately between nodes in complex networks, especially in the field of traffic. The measure takes into account properties of lanes (e.g. number of lanes, width, traffic direction). As much, it is a more comprehensive measure in comparison to previous network measures. It can be used to grasp the features of urban street network more clearly. We applied this measure to the road network in Xiamen, China. Based on a standard method from statistical physics, we examined in more detail the distribution of this new measure and found that (1) due to the limitation of space geographic attributes, traditional research conclusions acquired by using the original definition of degree to study the primal approach modeled urban street network are not very persuasive; (2) both of the direction of the network connection and the degree's odd or even classifications need to be analyzed specifically; (3) the improved degree distribution presents obvious hierarchy, and hierarchical values conform to the power-law distribution, and correlation of our new measure shows some significant segmentation of the urban road network. (C) 2016 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available